AWS Solution Architect Associate Job Interview Questions and Answers

Cloud computing is increasingly becoming the norm among organizations that desire more flexibility, higher efficiencies, reduced costs, and improved disaster recovery, to name only a few of the benefits that may be gained from using the technology. The suppliers of cloud computing are there to facilitate migrations, which has led to intense competition in the market for cloud computing services. In this article, let us look at some AWS Solution Architect Associate Job Interview Questions and Answers, and try to understand what AWS means.

Applications built on the Amazon Web Services (AWS) platform are the focus of the work of AWS Solutions Architects, who are responsible for their design and management. They collaborate with system administrators and developers to ensure that applications built for the AWS platform are designed to scale appropriately and operate at their full potential. In addition, Solutions Architects collaborate with customers to educate them on how to make optimal use of the AWS platform to satisfy the requirements of their respective businesses. In addition to their technical competence, Solutions Architects need to be able to communicate clearly and effectively with a wide variety of stakeholders, including those who are not technically oriented.

AWS Solution Architect Associate Job Interview Questions and Answers

Below is the list of the top interview questions asked in AWS recruitments:

1. What does “Amazon EC2” stand for?

Elastic Compute Cloud is a cloud service that offers scalable computing capability. Its abbreviation is EC2. When you use Amazon EC2, you won’t need to make any hardware investments; as a result, application development and deployment will go much more quickly. Amazon Elastic Compute Cloud allows you to launch as few or as many virtual servers as required, set security and networking, and manage storage. It is possible to scale up or down in response to changes in requirements, which eliminates the need to predict traffic levels. EC2 delivers virtual computing environments called “instances.”

2. Can you explain what Amazon S3 is?

S3, which is an abbreviation for “Simple Storage Service,” is the name of Amazon’s storage platform, which has the most support available. S3 is an object storage that has the capacity to store an unlimited quantity of data and retrieve that data from any location. Despite the fact that it may be used for a variety of purposes, its storage capacity is almost limitless, it is cost-effective, and it is available on demand. In addition to these benefits, it also offers levels of durability and availability that have never been seen before. Amazon S3 is a tool that assists with data management for purposes including cost optimization, access control, and compliance.

3. If using S3 with EC2 instances is possible, what are the steps to take to do so?

For instances that have root devices backed by local instance storage, Amazon S3 can be used as an option for storage. Developers will have access to the same highly scalable, reliable, quick, and economical data storage infrastructure that Amazon uses to run its own worldwide network of websites. This will allow developers to create applications that are competitive with Amazon’s offerings. Amazon Machine Images (AMIs) must first be loaded into Amazon S3 by developers before they can be moved between Amazon S3 and Amazon EC2 in order for systems to be executed in the Amazon EC2 environment.

Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3) are two of the most well-known online services that are included in AWS.

4. What exactly is meant by the acronym “Identity and Access Management” (IAM), and how is it put to use?

A web service called Identity and Access Management (IAM) is used to regulate users’ access to Amazon Web Services in a safe manner. IAM gives you the ability to manage users, security credentials such as access keys, and permissions that control which AWS resources individual users and applications are able to access.

5. What Exactly Is the Amazon Virtual Private Cloud (VPC), and Why is it Utilized?

Using a virtual private network (VPC) to connect your on-premises data center to your cloud services is the most efficient method. After you have successfully connected your data center to the virtual private cloud (VPC) in which your instances are located, a private IP address will be allotted to each instance. This address can then be accessed from within your data center. In this manner, you will be able to access the resources of the public cloud as though they were part of your own private network.

6. Can you explain Amazon’s Route 53?

The Amazon Route 53 Domain Name System is one that is both scalable and highly available (DNS). The name alludes to the TCP or UDP port 53, which is the location where queries are sent to DNS servers.

7. What exactly is Cloudtrail, and how do Route 53 and Cloudtrail interact with one another?

CloudTrail is a service that logs information regarding each and every request that is sent to the Amazon Route 53 API from an AWS account. This includes requests that are issued from IAM users. An Amazon S3 bucket is where CloudTrail stores the log files that are generated by these requests. CloudTrail records information about all requests. You are able to discover which requests were submitted to Amazon Route 53, the IP address that the request was sent from, who sent the request when it was sent, and a number of other relevant details by using the information that is contained inside the CloudTrail log files.

8. In what situations are provisioned IOPS more advantageous than standard RDS storage?

Provisioned IOPS are the ones you use when you have workloads that are more batch-oriented. Provisioned IOPS are known for their high IO throughput but come at a hefty price tag. On the other hand, manual involvement is not necessary for the processing of tasks in batches.

9. What makes Amazon RDS, Dynamodb, and Redshift Unique from One Another, and How Do They Compare?

Amazon RDS stands for Relational Database Service and is Amazon’s offering for managing relational databases. Patching, upgrading, and data backups are all taken care of automatically by it. It is a database management service that only works with data that is structured. On the other hand, DynamoDB is a service that utilizes a NoSQL database and is designed to work with unstructured data. Redshift is a product that is used in data analysis that is a data warehouse.

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